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Large Language ModelsAI Business & IndustrySnowflake AI BlogPublished: Oct 9, 2026, 06:00 JST

Snowflake Decision hits 57.63, top of 72 models

Snowflake Decision hits 57.63, top of 72 models

3 Key Points

  1. What happened

    Snowflake released Snowflake Decision in private preview, called through AI_COMPLETE in Cortex AI Functions. It scored 57.63, the highest quality score among 72 models on the same 29 Jev Decision Index 0.2.1 benchmarks.

  2. Why it matters

    Snowflake says higher-quality decisions could mean more reliable classification, scoring and routing across high-volume workflows, such as support tickets and review analysis.

WHO IT HITSSnowflake customers running high-volume classification, scoring or routing workflows — such as support operations assigning tickets or product teams analyzing reviews — can request private preview access through their account team.

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Context & Analysis

Snowflake's decision model is meant for bounded, repeated questions — which category a record belongs to, how risky a transaction is, whether a ticket needs more work — rather than open-ended reasoning. The company has positioned it as another option in Cortex AI Functions, next to the general-purpose models already offered, and says it's suited to running across thousands of rows where speed and cost matter. In the vendor's own comparison, Snowflake Decision scored 57.63, ahead of the other 71 models on the same 29 benchmarks. Snowflake notes that current interface limits, such as a maximum of 32 options, kept it from running the full Hugging Face benchmark, and that every model's score was calculated from the same benchmark results using the index's published, chance-adjusted methodology.

FAQ
How do I get access to Snowflake Decision?
It is in private preview. You can request access by reaching out to your Snowflake account team, who will follow up with next steps including private preview documentation.
What kinds of questions can the model answer?
It supports three question types: choice (select from a defined list), score (rate against an ordered rubric) and yes/no (noul, a probability from 0 to 1).
What was the model evaluated on?
Snowflake evaluated it on 29 Jev Decision Index 0.2.1 benchmarks covering 88,837 test requests across reasoning, language, retrieval, tool use and creative judgment. These 29 are a subset of the broader Hugging Face benchmark.
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